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Sam Altman's Retro Biosciences Aims to Launch Anti-Aging Brain Pill by 2025: What This Means for Longevity Tech

OpenAI CEO Sam Altman’s secretive longevity startup, Retro Biosciences, is making waves in the anti-aging space with plans to launch its first commercial product as early as 2025. The company, which received a staggering $180 million investment from Altman, is developing a brain-focused supplement designed to enhance cognitive function and potentially extend human healthspan. This move represents one of the first tangible consumer products to emerge from the billionaire’s ambitious longevity investments, signaling a shift from theoretical research to practical applications in the anti-aging market.

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AI Power Struggle: How Big Tech's Data Centers Are Being Pushed Off the Grid

In a concerning development for the AI industry, major tech companies are facing unprecedented challenges in powering their energy-hungry data centers. Recent reports reveal that tech giants like Microsoft, Google, and Amazon are encountering significant roadblocks as power companies across the U.S. are increasingly unable to meet their massive electricity demands. This power crunch threatens to slow down the AI revolution just as it’s gaining momentum, with some data center projects facing delays of up to a decade for grid connections.

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OpenAI Secures New Microsoft Deal and Restructures: What This Means for AI's Future

In a significant development for the artificial intelligence landscape, OpenAI has announced a new agreement with Microsoft that includes a restructuring of the company’s corporate governance. The deal, which follows months of negotiations, will see Microsoft gain a non-voting board observer position while OpenAI transitions to a new corporate structure designed to balance its nonprofit mission with commercial interests. This restructuring comes after the dramatic leadership crisis last November when CEO Sam Altman was briefly ousted before being reinstated, highlighting the tensions between OpenAI’s original nonprofit mission and its increasingly commercial direction.

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AI Models Ranked for Psychosis Risk: New Study Reveals Surprising Results from OpenAI, Anthropic, and Google

A groundbreaking study has revealed concerning insights about leading AI models and their potential to exhibit psychosis-like behaviors. Researchers from Stanford University and other institutions evaluated 12 prominent large language models (LLMs) from companies including OpenAI, Anthropic, Google, and Meta, finding that all demonstrated some level of psychosis-like reasoning when presented with ambiguous scenarios. The study ranked Claude 3 Opus as showing the highest risk, while Google’s Gemini 1.5 Pro scored lowest among the tested models.

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OpenAI Exec Reveals Ambitious Growth Plans: ChatGPT to Reach 1 Billion Users by 2025

In a bold projection that signals OpenAI’s confidence in its trajectory, the company’s Chief Strategy Officer Jason Kwon announced at Goldman Sachs’ Communacopia + Technology Conference that ChatGPT is on track to reach one billion users by 2025. This ambitious target represents a significant leap from the AI chatbot’s current user base, which already stands at an impressive 200 million monthly active users according to Kwon’s revelation. The growth forecast underscores OpenAI’s dominant position in the consumer-facing AI market, despite increasing competition from rivals like Anthropic’s Claude and Google’s Gemini.

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Tech Giants Clash Over AI Web Scraping Standards: What Google, Microsoft, and OpenAI's Battle Means for the Future of AI Training

A major power struggle is unfolding in the AI landscape as Google, Microsoft, and OpenAI find themselves at odds over proposed standards that would govern how AI systems access and scrape website data. According to recent reports, Google is pushing for stricter limitations on AI web crawling through the World Wide Web Consortium (W3C), while Microsoft and OpenAI are resisting these constraints. This conflict highlights the growing tension between content creators demanding protection and AI companies requiring vast amounts of training data to build their increasingly sophisticated models.

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